Construction of Network and Data Security Integrated Operation Platform Based on DeepSeek
With the in - depth advancement of digital transformation, the medical industry faces unprecedented challenges in network and data security. Issues such as the separation of network security and data security, difficulties in data standardization in multiple hospital campuses, and low - efficiency security operations have severely restricted the informatization development of medical institutions. Therefore, the First Affiliated Hospital of Henan University of Science and Technology has constructed a network and data security integrated operation platform based on DeepSeek technology, aiming to achieve the deep integration of network security and data security. This platform integrates capabilities such as active threat detection, automated response and orchestration, and automated management processes, and constructs a full - process closed - loop system from threat prediction, monitoring, analysis to response and tracing. With the learning ability of the DeepSeek large - scale model for massive network traffic, log data, and malicious code, the platform can excavate potential threat patterns, detect abnormal behaviors in a timely manner, and provide personalized security suggestions for operation and maintenance personnel through natural language interaction. This article details the construction background, technical architecture, innovation points, and application effectiveness of this platform, providing a reference solution for network and data security construction in the medical industry.
Authors
- Zejun Lu (ORCID: https://orcid.org/0000-0002-0570-9436)
- Libao Shi (ORCID: https://orcid.org/0000-0002-5916-9260)
- Peng Liu (ORCID: https://orcid.org/0000-0002-1667-6617)
- Lijuan Wang (ORCID: https://orcid.org/0000-0002-2517-2728)
- Zhe Chen (ORCID: https://orcid.org/0000-0002-2919-4481)
- Xiaojin Liu (ORCID: https://orcid.org/0000-0001-9677-6388)
- Yan Wang (ORCID: https://orcid.org/0000-0002-2217-7101)
- Wei Xin (ORCID: https://orcid.org/0009-0001-6595-4222)
- Fengliang Xu
- Chen-Xi Gong
- Xing-Yao Suo
Institutions
- First Affiliated Hospital of Henan University of Science and Technology (CN)
Publication Details
- Published
- 2025-04-11
- DOI
- https://doi.org/10.1109/ainit65432.2025.11035361
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00